Generation of uncorrelated random scale-free networks

Generation of uncorrelated random scale-free networks

ID:39761101

大小:155.70 KB

页数:4页

时间:2019-07-11

Generation of uncorrelated random scale-free networks_第1页
Generation of uncorrelated random scale-free networks_第2页
Generation of uncorrelated random scale-free networks_第3页
Generation of uncorrelated random scale-free networks_第4页
资源描述:

《Generation of uncorrelated random scale-free networks》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库

1、Generationofuncorrelatedrandomscale-freenetworksMicheleCatanzaro,1Mari´anBogu˜n´a,2andRomualdoPastor-Satorras11DepartamentdeF´ısicaiEnginyeriaNuclear,UniversitatPolit`ecnicadeCatalunya,CampusNordB4,08034Barcelona,Spain2DepartamentdeF´ısicaFonamental,Universit

2、atdeBarcelona,Av.Diagonal647,08028Barcelona,Spain(Dated:February2,2008)Uncorrelatedrandomscale-freenetworksareusefulnullmodelstochecktheaccuracyantheanalyticalsolutionsofdynamicalprocessesdefinedoncomplexnetworks.Weproposeandanalyzeamodelcapabletogeneraterando

3、muncorrelatedscale-freenetworkswithnomultipleandself-connections.Themodelisbasedontheclassicalconfigurationmodel,withanadditionalrestrictiononthemaximumpossibledegreeofthevertices.Wechecknumericallythattheproposedmodelindeedgeneratesscale-freenetworkswithnotwo

4、andthreevertexcorrelations,asmeasuredbytheaveragedegreeofthenearestneighborsandtheclusteringcoefficientoftheverticesofdegreek,respectively.PACSnumbers:89.75.-k,87.23.Ge,05.70.LnComplexnetworksconstituteageneralframeworkforvertexofdegreekisconnectedtoavertexofde

5、greek′.thetopologicalcharacterizationofmanynaturalandFromanumericalpointofview,itismoreconvenienttotechnologicalsystemswhosecomplexitypreventsamorecharacterizedegree-degreecorrelationsbymeansofthedetailedmicroscopicdescription[1,2,3].Withinthisaveragedegreeof

6、thenearestneighborsoftheverticesofframework,thesesystemsarerepresentedintermsofdegreek,whichisformallydefinedas[10]networksorgraphs[4],inwhichverticesstandfortheXk¯(k)=k′P(k′

7、k).(2)unitscomposingthesystem,whileedgesamongverticesnnrepresenttheinteractionsorrela

8、tionsbetweenpairsofk′units.Thefocusisthusshifttothetopologicalcharac-Degree-degreecorrelationshasledtoafirstclassifica-terizationoftherepresentativenetwork,ataskwhichistionofcomplexnetworksaccordingtothisproperty[11].largelymorefeasibleandyields,nevertheless,an

9、otice-Thus,whenk¯nn(k)isanincreasingfunctionofk,thecor-ableamountofinformationonthestructureandprop-respondingnetworkissaidtoexhibitassortativemixingertiesoftheoriginalsystem.Theempirical

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。